复杂电磁环境下基于未确知聚类的雷达信号分选算法.doc

复杂电磁环境下基于未确知聚类的雷达信号分选算法 何丽 陈雪晴 屈冬红 中国人民解放军73908部队，江苏 南京，210037 【摘 要】 Radar Signal Sorting Algorithm Based on Unascertained Clustering in Complicated Electromagnetic Environment HE Li, CHEN Xue-qing, QU Dong-hong Unit 73908 of PLA, Nanjing 210037, China 【Abstract】electromagnetic environment becomes more and more complicated along with the continuous improvement of armament informationization degree. To solve the problem that high-density radar signals in complicated electromagnetic environment can not be effectively sorted by the traditional methods, conjoining unascertained mathematical theory and clustering analysis theory, a new algorithm of radar signal sorting based on unascertained clustering was proposed. The unascertained measurement was constructed as membership degree to measure the membership relations between the pulses received by the radar reconnaissance receiver and the radar characteristic vectors stored in the radar knowledge base, and the rule of credible recognition was employed as clustering evaluation criterion to sort the radar signals. The simulation results show that the algorithm can effectively accomplish the task of radar signals sorting, and therefore explore a novel way for radar signals sorting research. 【Key words】Signal sorting; Unascertained clustering; Complicated electromagnetic environment; Radar 1 引言 复杂电磁环境是信息化战场的重要特征，它是指在作战双方博弈的有限战场空间内，由空域、时域、频域、能域上分布的数量繁多、样式复杂、密集重叠、动态交迭的多种电磁信号构成的战场电磁环境。随着电子信息技术的飞速发展，电子信息装备在军事领域的广泛应用使得战场空间形成了日益复杂的电磁环境。作战双方要想在现代战争取得主动权，控制战场发展态势，就必须有效地掌握敌方雷达等电子装备的特性。因此，通过侦察情报的分析进行雷达信号的识别具有特别重要的意义。 现代雷达侦察系统首先要具备的信号处理功能就是对随机交错信号能进行自动分选，即从截获到的密集雷达脉冲流中分拣出属于不同雷达辐射源的脉冲。只有在信号分选的基础上，才能测出各雷达参数，完成对雷达的识别，进而对雷达威胁辐射源施加压制式干扰或构造虚假目标回波信号进行各种欺骗式干扰。在现代电子战环境中， 现存的电子战系统对威胁辐射源信号的识别都有虚警太多和漏警严重的缺陷[1]。各种雷达系统及精确制导武器的大量使用，新体制雷达的不断出现，使得雷达侦察接收机所处的信号环境越来越复杂，传统的基于统计思想的信号分选面临着极大的挑战。高密集复杂雷达信号的实时分选成为当前雷达侦察系统亟待解决的关键问题之一，本文在未确知数学理论基础上，结合复杂电磁环境下雷达信号分选的特点，尝试应用未确知聚类分析进行雷达信号分选的研究。实验结果表明，该方法可以有效地完成雷达信号分选任务，为复杂电磁环境下的雷达信号分选研究提供了新思路。 2 相关研究 当前的雷达信号分